| <!doctype html> |
| <html lang="en"> |
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| <head> |
| <meta charset="utf-8"> |
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| <title>reveal.js - Math Plugin</title> |
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| </head> |
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| <body> |
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| <div class="reveal"> |
| |
| <div class="slides"> |
| |
| <section> |
| <h2>reveal.js Math Plugin</h2> |
| <p>Render math with KaTeX, MathJax 2 or MathJax 3</p> |
| </section> |
| |
| <section> |
| <h3>The Lorenz Equations</h3> |
| |
| \[\begin{aligned} |
| \dot{x} & = \sigma(y-x) \\ |
| \dot{y} & = \rho x - y - xz \\ |
| \dot{z} & = -\beta z + xy |
| \end{aligned} \] |
| </section> |
| |
| <section> |
| <h3>The Cauchy-Schwarz Inequality</h3> |
| |
| <script type="math/tex; mode=display"> |
| \left( \sum_{k=1}^n a_k b_k \right)^2 \leq \left( \sum_{k=1}^n a_k^2 \right) \left( \sum_{k=1}^n b_k^2 \right) |
| </script> |
| </section> |
| |
| <section> |
| <h3>A Cross Product Formula</h3> |
| |
| \[\mathbf{V}_1 \times \mathbf{V}_2 = \begin{vmatrix} |
| \mathbf{i} & \mathbf{j} & \mathbf{k} \\ |
| \frac{\partial X}{\partial u} & \frac{\partial Y}{\partial u} & 0 \\ |
| \frac{\partial X}{\partial v} & \frac{\partial Y}{\partial v} & 0 |
| \end{vmatrix} \] |
| </section> |
| |
| <section> |
| <h3>The probability of getting \(k\) heads when flipping \(n\) coins is</h3> |
| |
| \[P(E) = {n \choose k} p^k (1-p)^{ n-k} \] |
| </section> |
| |
| <section> |
| <h3>An Identity of Ramanujan</h3> |
| |
| \[ \frac{1}{\Bigl(\sqrt{\phi \sqrt{5}}-\phi\Bigr) e^{\frac25 \pi}} = |
| 1+\frac{e^{-2\pi}} {1+\frac{e^{-4\pi}} {1+\frac{e^{-6\pi}} |
| {1+\frac{e^{-8\pi}} {1+\ldots} } } } \] |
| </section> |
| |
| <section> |
| <h3>A Rogers-Ramanujan Identity</h3> |
| |
| \[ 1 + \frac{q^2}{(1-q)}+\frac{q^6}{(1-q)(1-q^2)}+\cdots = |
| \prod_{j=0}^{\infty}\frac{1}{(1-q^{5j+2})(1-q^{5j+3})}\] |
| </section> |
| |
| <section> |
| <h3>Maxwell’s Equations</h3> |
| |
| \[ \begin{aligned} |
| \nabla \times \vec{\mathbf{B}} -\, \frac1c\, \frac{\partial\vec{\mathbf{E}}}{\partial t} & = \frac{4\pi}{c}\vec{\mathbf{j}} \\ \nabla \cdot \vec{\mathbf{E}} & = 4 \pi \rho \\ |
| \nabla \times \vec{\mathbf{E}}\, +\, \frac1c\, \frac{\partial\vec{\mathbf{B}}}{\partial t} & = \vec{\mathbf{0}} \\ |
| \nabla \cdot \vec{\mathbf{B}} & = 0 \end{aligned} |
| \] |
| </section> |
| |
| <section> |
| <h3>TeX Macros</h3> |
| |
| Here is a common vector space: |
| \[L^2(\R) = \set{u : \R \to \R}{\int_\R |u|^2 < +\infty}\] |
| used in functional analysis. |
| </section> |
| |
| <section> |
| <section> |
| <h3>The Lorenz Equations</h3> |
| |
| <div class="fragment"> |
| \[\begin{aligned} |
| \dot{x} & = \sigma(y-x) \\ |
| \dot{y} & = \rho x - y - xz \\ |
| \dot{z} & = -\beta z + xy |
| \end{aligned} \] |
| </div> |
| </section> |
| |
| <section> |
| <h3>The Cauchy-Schwarz Inequality</h3> |
| |
| <div class="fragment"> |
| \[ \left( \sum_{k=1}^n a_k b_k \right)^2 \leq \left( \sum_{k=1}^n a_k^2 \right) \left( \sum_{k=1}^n b_k^2 \right) \] |
| </div> |
| </section> |
| |
| <section> |
| <h3>A Cross Product Formula</h3> |
| |
| <div class="fragment"> |
| \[\mathbf{V}_1 \times \mathbf{V}_2 = \begin{vmatrix} |
| \mathbf{i} & \mathbf{j} & \mathbf{k} \\ |
| \frac{\partial X}{\partial u} & \frac{\partial Y}{\partial u} & 0 \\ |
| \frac{\partial X}{\partial v} & \frac{\partial Y}{\partial v} & 0 |
| \end{vmatrix} \] |
| </div> |
| </section> |
| |
| <section> |
| <h3>The probability of getting \(k\) heads when flipping \(n\) coins is</h3> |
| |
| <div class="fragment"> |
| \[P(E) = {n \choose k} p^k (1-p)^{ n-k} \] |
| </div> |
| </section> |
| |
| <section> |
| <h3>An Identity of Ramanujan</h3> |
| |
| <div class="fragment"> |
| \[ \frac{1}{\Bigl(\sqrt{\phi \sqrt{5}}-\phi\Bigr) e^{\frac25 \pi}} = |
| 1+\frac{e^{-2\pi}} {1+\frac{e^{-4\pi}} {1+\frac{e^{-6\pi}} |
| {1+\frac{e^{-8\pi}} {1+\ldots} } } } \] |
| </div> |
| </section> |
| |
| <section> |
| <h3>A Rogers-Ramanujan Identity</h3> |
| |
| <div class="fragment"> |
| \[ 1 + \frac{q^2}{(1-q)}+\frac{q^6}{(1-q)(1-q^2)}+\cdots = |
| \prod_{j=0}^{\infty}\frac{1}{(1-q^{5j+2})(1-q^{5j+3})}\] |
| </div> |
| </section> |
| |
| <section> |
| <h3>Maxwell’s Equations</h3> |
| |
| <div class="fragment"> |
| \[ \begin{aligned} |
| \nabla \times \vec{\mathbf{B}} -\, \frac1c\, \frac{\partial\vec{\mathbf{E}}}{\partial t} & = \frac{4\pi}{c}\vec{\mathbf{j}} \\ \nabla \cdot \vec{\mathbf{E}} & = 4 \pi \rho \\ |
| \nabla \times \vec{\mathbf{E}}\, +\, \frac1c\, \frac{\partial\vec{\mathbf{B}}}{\partial t} & = \vec{\mathbf{0}} \\ |
| \nabla \cdot \vec{\mathbf{B}} & = 0 \end{aligned} |
| \] |
| </div> |
| </section> |
| |
| <section> |
| <h3>TeX Macros</h3> |
| |
| Here is a common vector space: |
| \[L^2(\R) = \set{u : \R \to \R}{\int_\R |u|^2 < +\infty}\] |
| used in functional analysis. |
| </section> |
| </section> |
| |
| </div> |
| |
| </div> |
| |
| <script src="../dist/reveal.js"></script> |
| <script src="../plugin/math/math.js"></script> |
| <script> |
| Reveal.initialize({ |
| history: true, |
| transition: 'linear', |
| |
| mathjax2: { |
| config: 'TeX-AMS_HTML-full', |
| TeX: { |
| Macros: { |
| R: '\\mathbb{R}', |
| set: [ '\\left\\{#1 \\; ; \\; #2\\right\\}', 2 ] |
| } |
| } |
| }, |
| |
| // There are three typesetters available |
| // RevealMath.MathJax2 (default) |
| // RevealMath.MathJax3 |
| // RevealMath.KaTeX |
| // |
| // More info at https://revealjs.com/math/ |
| plugins: [ RevealMath.MathJax2 ] |
| }); |
| </script> |
| |
| </body> |
| </html> |